Analisis Model Pengembangan Kawasan Ekowisata Mangrove Potensial Berbasis Hyper Spectral of Remote Sensing dan Analytical Hierarchy Process

Abstract

Studies on potential mangrove ecotourism development models based on hyperspectral of remote sensing and analytical hierarchy process are needed to identify and analyze land suitability with socio-cultural and economic characteristics of local communities. This study connects the results of satellite image data processing using NDVI, SAVI, EVI, and NDWI approaches with decision support systems in setting priority programs for Zone 1, Zone 2, and Zone 3 development models in potential mangrove areas East Tobelo District, North Halmahera Regency, North Maluku Province, Indonesia. In the AHP approach, four criteria will be analyzed comprehensively, as follows: first, the arrangement and management of mangrove ecotourism areas (K1); second, training, mentoring, and community empowerment of mangrove ecotourism (K2) development areas; third, preservation of local social and cultural values (K3); fourth, the construction of facilities and infrastructure supporting mangrove ecotourism (K4). The results of this study show that the overall average value of raster data calculation results through the Hyper Spectral of Remote Sensing approach using NDVI, SAVI, EVI, and NDWI algorithms based on zone 1, zone 2, zone 3 mangrove areas of East Tobelo District, indicates medium or sufficient category density conditions and dense or dense, and has enough moisture or water in the measured area. Thus, Zone 1, Zone 2, and Zone 3 can be optimized into tourist destinations through community-based mangrove ecotourism. In addition, based on the results of the weighting of criteria and sub-criteria, normalization, and calculation of eigenvalue, lambda maximum, CI, and CR in the AHP method, it can be seen that K1 and Zone 1 obtained the highest rank, as well as showing the priority scale in the development of community-based mangrove ecotourism in East Tobelo District, North Halmahera Regency, North Maluku Province, Indonesia.

Analisis Indeks Vegetasi dan Perancangan Sistem Monitoring Kawasan Ekowisata Mangrove Berbasis Hyper Spectral of Remote Sensing dan Design Thinking Framework

“…Metode Hyper Spectral of Remote Sensing merupakan bagian dari teknik penginderaan jarak jauh yang mengolah data raster citra satelit berdasarkan koordinat suatu wilayah, untuk mengidentifikasi dan menganalisis nilai indeks vegetasi [16]. Metode ini telah digunakan dalam penelitian sebelumnya, untuk menginterpretasikan kondisi vegetasi mangrove berdasarkan nilai indeks yang dihasilkan dari model NDVI berdasarkan konteks masingmasing wilayah (kontekstual) [3], [4], [11], [17]- [21]. Metode penginderaan jauh hiperspektral merupakan metode yang menggunakan informasi spektral yang sangat rinci untuk menganalisis objek-objek di permukaan bumi.…”

Implementasi Metode Simple Multi Attribute Rating Technique (SMART) dalam Pemilihan Zona Prioritas dan Alternatif Berbasis Data Klasifikasi Indeks Vegetasi

“…Gambar 1 merupakan alur penelitian ini. Penelitian ini merupakan pengembangan dari beberapa penelitian sebelumnya yang berhubungan dengan metode penginderaan jarak jauh yakni implementasi metode hyper spectral of remote sensing untuk analisis kawasan ekowisata mangrove potensial [13] serta analisis model pengembangan kawasan ekowisata mangrove berbasis hyper spectral of remote sensing yang dikombinasikan dengan metode pendukung keputusan Analytical Hierarchy Process (AHP) [14]. Selain itu, Singgalen dan Manongga menegaskan bahwa model NDVI menggambarkan kondisi eksisting mangrove berdasarkan kategori jarang, sedang dan padat, namun metode AHP merupakan model pendukung keputusan dalam menentukan program prioritas untuk menjaga keberlangsungan mangrove [15].…”